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Spline-regression estimation of the influence of exposure dose on cancer probability

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Abstract

Spline regression is used to analyze the influence of radiation on the cancer probability in a group of participants of Chernobyl accident mitigation, depending on the exposure dose. A new method is proposed to approximate modified polygons by linear splines with two nodes. An algorithm for the identification of a transition point is outlined.

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Authors and Affiliations

  1. Taras Shevchenko National University, Kiev, Ukraine

    Yu. I. Petunin & D. A. Klyushin

  2. P. E. Kavetskii Institute of Experimental Pathology, Oncology, and Radiobiology, National Academy of Sciences of Ukraine, Kiev, Ukraine

    E. A. Djomina

  3. Institute of Mathematics, National Academy of Sciences of Ukraine, Kiev, Ukraine

    M. Yu. Savkina

Authors
  1. Yu. I. Petunin
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  2. E. A. Djomina
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  3. D. A. Klyushin
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  4. M. Yu. Savkina
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__________

Translated from Kibernetika i Sistemnyi Analiz, No. 3, pp. 168–176, May–June 2006.

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Petunin, Y.I., Djomina, E.A., Klyushin, D.A. et al. Spline-regression estimation of the influence of exposure dose on cancer probability. Cybern Syst Anal 42, 449–455 (2006). https://doi.org/10.1007/s10559-006-0083-6

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  • DOI: https://doi.org/10.1007/s10559-006-0083-6

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